Browse > Article
http://dx.doi.org/10.7780/kjrs.2019.35.5.2.9

Development of Rainfall Estimation Technology in the Korean Peninsula in the Event of Heavy Rain using COMS and GPM Satellites  

Cheon, Eun Ji (Division of Disaster Information Research, National Disaster Management Research Institute)
Lee, Dalgeun (Division of Disaster Information Research, National Disaster Management Research Institute)
Yu, Jung Hum (Division of Disaster Information Research, National Disaster Management Research Institute)
Publication Information
Korean Journal of Remote Sensing / v.35, no.5_2, 2019 , pp. 851-859 More about this Journal
Abstract
The COMS satellites take image of the Korean Peninsula every 15 minutes, but due to the limitations of the observational channels, they tend to underestimate when estimating rainfall. In this study, we developed satellite-based rainfall estimation technology using COMS and GPM that can be used in the heavy rain on the Korean Peninsula. The time resolution and spatial resolution of COMS satellites and GPM satellites were matched to improve accuracy using GPM IMERG data. As a result, it showed that the number of correlations with the ASOS observations was more than 0.7, enabling the estimation of rainfalls that are more accurate than the estimates of rainfall by COMS satellites. It is believed that the application of the subsequent satellite(GK-2A) will provide more accurate rainfall estimation information in the future. Therefore, we expect greater utilization in disaster management for the ungauged areas.
Keywords
COMS; GPM; Rainfall Intensity; Satellite; ungauged areas; heavy rain;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
연도 인용수 순위
1 Baik, J. J., J. M. Park, K. Y. Kim, and M. H. Choi, 2018, Assessment and merging technique for GPM satellite precipitation product using ground based measurement, Journal of Korea Resources Association, 51(2): 131-140 (in Korean with English abstract).
2 Huffman, G. J., R. F. Adler, D. T. Bolvin, G. Gu, E. J. Nelkin, K. P. Bowman, Y. Hong, E. F. Stocker, and D. B. Wolff, 2007. The TRMM Multi-satellite Precipitation Analysis: Quasi-Global, Multi-Year, Combined-Sensor Precipitation Estimates at Fine Scale, Journal of Hydrometeorology, 8: 38-55.   DOI
3 Huffman, G. J., R. F. Adler, M. Morrissey, D. T. Bolvin, S. Curtis, R. Joyce, B. McGavock, and J. Susskind, 2001. Global Precipitation at One-Degree Daily Resolution from Multi-Satellite Observations, Journal of Hydrometeorology, 2: 36-50   DOI
4 Jang, S. M., K. Y. Park, and S. K. Yoon, 2016. A Multi-sensor based Very Short-term Rainfall Forecasting using Radar and Satellite Data - A Case Study of the Busan and Gyeongnam Extreme Rainfall in August, 2014, Korean Journal of Remote Sensing, 32(2): 155-169 (in Korean with English abstract).   DOI
5 Jeon, M. G., W. H. Nam, Y. S. Mun, T. Kim, and E. M. Hong, 2018. Accuracy of CHIRPS satellite-based rainfall estimates over Korea, The Korean Society of Agricultural Engineers, 2018(0): 108-108.
6 Jeong, G. Y. and C. S. Ryu, 2008. The Synoptic Characteristics of Heavy Rain in South Korea, Journal of the Chosun Natural Science, 1(2): 89-114 (in Korean with English abstract).
7 KBS news, 2019. As the typhoon 'Lingling' moves northward, North Korea called an emergency meeting of Central Military Commission, https://news.kbs.co.kr/news/view.do?ncd=4278571, Accessed on Sep. 7, 2019.
8 Kim, D. Y., S. H. Baeck, G. H. Park, E. H. Hwang, and H. S. Chae, 2017. Applicability of Water Resource Specialized Satellites for Observing Disasters on the Korean Peninsula, Journal of the Korean Association of Geographic Information Studies, 20(1): 85-97 (in Korean with English abstract).   DOI
9 Kummerow, C., W. S. Olson, and L. Giglio, 1996. A simplified scheme for obtaining precipitation and vertical hydrometeor profiles form passive microwave sensors, Proc. of IEEE Transactions on Geoscience and Remote Sensing, Oakland, CA, May 6-8, vol. 34, pp. 1213-1232.
10 National Meteorological Satellite Center, 2012. Technical Analysis Report of Rainfall Intensity Algorithms (RI-v1.0), National Meteorological Satellite Center, Republic Korea, pp. 7-20.
11 Park, J. S., Y. S. Choi, H. J. Lee, and K. T. Kim, 2010. Estimation and Evaluation of Rainfall using Meteorological Satellite, Korean Journal of Society of Civil Engineers, 30(5): 1865-1868.
12 Park, K. W., 2015. Development of Early Warning System for Flood using GPM Satellite and GIS System, Asia-Pacific Conference on Communications, Busan, South Korea, pp. 15-46.
13 Sharifi, E., R. Steinacker, and B. Saghafian, 2016. Assessment of GPM-IMERG and other precipitation products against gauge data under different topographic and climatic conditions in Iran: preliminary results, Remote Sensing, 8(2): 135.   DOI
14 Wang, W. and H. Lu, 2016. Evaluation and comparison of newest GPM and TRMM products over Mekong river basin at daily scale, Proc. of 2016 IEEE International Geoscience and Remote Sensing Symposium, Beijing, China, Jul. 10-15, pp. 613-616.
15 Yoon, S. K., K. W. Park, J. P. Kim, and I. W. Jung, 2014. Validation of Extreme Rainfall Estimation in an Urban Area derived from Satellite Data: A Case Study on the Heavy Rainfall Event in July, 2011, Journal of the Korea Water Resources Association, 47(4): 371-384 (in Korean with English abstract).   DOI